Videos

New analytics and data science projects are challenged with demonstrating value early based on source data. In this presentation, we will demonstrate how to shorten time to value by quickly developing a standalone application using Streamlit. During this Streamlit review, we will explore and utilize clinical trial data from ClinicalTrials.gov. With this data, we will create an application that visualizes clinical trials stored in a graph, provides users with intuitive access to trial insights, leverages the data’s interrelationships for graph algorithmic analytics, and presents a prototype that can lead to a conversation about further application development. By the end of the presentation, you will see how Streamlit can be generalized to your own graph projects and various topic areas. Speakers: David Hughes Format: Full Session 30-45 min Level: Intermediate Topics: #KnowledgeGraph, #Analytics, #Visualization, #Biotechnology, #General, #Pharmaceutical, #Intermediate Region: APAC Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com